Outdoor Robotic Localization

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dc.contributor.authorWatawana, B.J.
dc.contributor.authorPiyathilaka, Lasitha
dc.contributor.authorEkanayake, Thushara
dc.date.accessioned2021-02-11T04:03:39Z
dc.date.available2021-02-11T04:03:39Z
dc.date.issued2012
dc.description.abstractRobotic Localization is a vast area of research & implemented in different scales. Many researches are carried throughout the world to find optimum and most cost effective method of implementing a localization system. In these researches, technologies like Computer Vision, GPS, Wi-Fi, GSM, RFID and ultrasonic are used for the localization. The main concept of robotic localization is similar where it uses a known stationary position as the base and calculates the relative position with different technologies. Outdoor localization involves handling environmental ambient noises as well as adapting system to sudden changes in parameters such as light level variation. The motivation of this research is to address this issue and find an optimum trilateration algorithm for robotic localization. CV, Wi-Fi, GSM, RFID and Ultrasonic sensory localization uses trilateration algorithms. Trilateration algorithms are used for localizing robot in a limited area with a higher accuracy. Researchers are carried out in trilateration algorithm either using ultrasonic sensors or computer vision. Ultrasonic sensory trilateration involves higher error ratio due to variations of environmental air velocity, moisture level and air density. CV mainly lacks adjustability to light condition variations. Higher the accuracy in CV, greater the cost of implementation. This research is based upon combining both algorithm to get a higher accuracy output and making the algorithm viable with higher ambient noise with a low costen_US
dc.identifier.issn2235-9877
dc.identifier.urihttp://www.erepo.lib.uwu.ac.lk/bitstream/handle/123456789/5965/449-Outdoor%20Robotic%20Localization.pdf?sequence=1&isAllowed=y
dc.language.isoenen_US
dc.publisherUva Wellassa University of Sri Lankaen_US
dc.relation.ispartofseries;Research Symposium
dc.subjectScience and technologyen_US
dc.subjectRoboticsen_US
dc.subjectRemort Science and Image Interpreperationen_US
dc.titleOutdoor Robotic Localizationen_US
dc.title.alternativeResearch Symposium 2012en_US
dc.typeOtheren_US
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